Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Neo4j’s Jim Webber, who says graphs are a way of managing complexity that is all ...

Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Emil Eifrem, co-founder and CEO at Neo4j. He writes on why he thinks graph ...

Get the latest federal technology news delivered to your inbox. If you google “Biden + White House” and click the Image tab, you’ll see lots of photos of the President speaking or hosting guests ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including connections to different types of databases is a critical ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...

A research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks. A KAIST research team has developed a new ...

MENLO PARK, Calif.--(BUSINESS WIRE)--HRZ Han River (“HRZ”), a Silicon Valley early-stage venture capital firm, announced today the launch of a $100 million venture fund. The fund aims to build ...

Modern cybersecurity technologies produce massive quantities of data, which requires rethinking how to store and manage all the different types of information being generated. Many cybersecurity ...